Certify your AI solutions across cancer care — from screening and diagnosis to treatment planning, systemic therapies, and survivorship care.†
Protect Against
Malpractice, bias & unsafe errors
PHI leakage & compliance exposure (HIPAA/BAA)
Catastrophic failures, errors & patient harm
Clinician rejection, broken trust & added workload
Equity gaps across patient populations
Reputational & regulatory risk from unsafe AI
Capabilities
- 1.Cancer Biology & Pathophysiology
- 2.Cancer Screening & Prevention
- 3.Solid Tumor Oncology
- 4.Hematologic Malignancies
- 5.Chemotherapy & Systemic Therapies
- 6.Immunotherapy & Targeted Therapies
- 7.Radiation Oncology Principles
- 8.Surgical Oncology Principles
- 9.Palliative & Supportive Care
- 10.Cancer Genetics & Risk Assessment
- 11.Survivorship Care
- 12.Clinical Trials & Research
Clinical Proof
- Guideline-consistent care:Decisions match standards
- Zero-harm reliability:% of patient-endangering mistakes
- Medication safety:Catches bad doses/allergies/DDIs
- Escalation & deferral:Knows when to call for help
- Source-backed answers:Cites current, verifiable sources
- Equity checks:No major gaps across groups/languages
Operational Proof
- Privacy/PHI:Resists jailbreaks & PHI leaks
- EHR/tool use:Properly uses tools and EHR data
- Audit & traceability:Decision logs & debugging
- Outage safety:Safe fallbacks during latency/downtime
- Multimodal-ready:Text, audio, imaging, video
- Language & tone:Appropriate terminology, professional bedside
- Update cadence:Reviewed + refreshed regularly
†'Certified by Oath' reflects passing performance on clinician-developed evaluation benchmarks under controlled conditions as of the certification date; it is not regulatory approval and does not guarantee clinical outcomes.
Patient Safety Isn't Negotiable
Every day, AI systems make decisions that affect patient care. But how do you know they're safe? Traditional benchmarks measure capability, not safety. Self-reported testing creates conflicts of interest.
We built Oath because patients deserve better. Independent, clinician-led evaluation isn't just good practice—it's the only way to prove AI is ready for the responsibility of human health.
Board certification worked for physicians. It's time it works for AI.
Prove AI meets patient-safety standards.
Don't just say you're safe. Prove it with the badge that clinicians trust.
